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CompTIA DA0-002 Exam Overview:

Certification Vendor:CompTIA
Exam Name:CompTIA Data+ Exam
Exam Number:DA0-002
Exam Price:$255 USD
Passing Score:720 (scale 100–900)
Certificate Validity Period:3 years
Exam Duration:90 minutes
Available Languages:English
Exam Format:Multiple-choice, Performance-based questions
Real Exam Qty:Up to 90
Recommended Training:CompTIA Official Training
Exam Registration:CompTIA Official Registration
Pearson VUE Testing
Sample Questions:CompTIA DA0-002 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:Recommended 18–24 months of experience in data/business analysis role; familiarity with databases, analytical tools, basic statistics, and visualization
Official Syllabus URL:https://www.comptia.org/certifications/data

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CompTIA DA0-002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 5.0 Data Governance, Quality, and Controls
Topic 2
  • This section of the exam measures skills of a Data Governance Associate and introduces principles for keeping data secure, accurate, and compliant. It covers access controls, encryption, classification of sensitive data like PII and PHI, and legal requirements tied to data use. Candidates must know how to apply quality checks, validate data, and manage master data effectively. It also addresses best practices for maintaining integrity through data dictionaries, audits, and standardisation processes.
Topic 3
  • Data Analysis: This section of the exam measures skills of a Reporting Analyst and includes foundational knowledge of statistical methods such as averages, variances, and standard deviation. It covers how to use data to find patterns, track performance, and make predictions. This domain also introduces hypothesis testing, regression, correlation, and different types of analysis like exploratory and trend analysis. Candidates should also be aware of common tools used for analysis, including Excel, SQL, Python, R, and popular BI platforms like Tableau and Power BI.
Topic 4
  • Data Concepts and Environments: This section of the exam measures the skills of a Junior Data Analyst and focuses on understanding core data concepts such as database types, schema structures, and data formats. It highlights differences between structured and unstructured data, compares file types like CSV, JSON, and XML, and introduces key ideas about data dimensions and slowly changing dimensions. Knowing how data is stored and organized helps professionals better prepare for analysis and reporting tasks.

CompTIA Data+ Exam Sample Questions (Q121-Q126):

NEW QUESTION # 121
A data analyst receives four files that need to be unified into a single spreadsheet for further analysis. All of the files have the same structure, number of columns, and field names, but each file contains different values.
Which of the following methods will help the analyst convert the files into a single spreadsheet?

Answer: B

Explanation:
This question is part of theData Acquisition and Preparationdomain, which involves combining data from multiple sources. The files have the same structure but different values, meaning theyneed to be stacked vertically into one dataset.
* Merging (Option A): Merging typically involves joining datasets on a common key (e.g., a customer ID), which isn't indicated here since the files only differ in values, not keys.
* Appending (Option B): Appending stacks datasets vertically, combining rows from files with the same structure into a single dataset, which matches the scenario.
* Parsing (Option C): Parsing involves breaking down data (e.g., splitting text), not combining files.
* Clustering (Option D): Clustering is a machine learning technique for grouping similar data points, not for combining files.
The DA0-002 Data Acquisition and Preparation domain includes "executing data manipulation," such as appending datasets with identical structures.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 2.0 Data Acquisition and Preparation.


NEW QUESTION # 122
Which of the following best describes the reason an analyst would reference a data dictionary versus a source's metadata?

Answer: A

Explanation:
A data dictionary provides detailed definitions of fields, including their meaning, structure, and attributes, which helps an analyst understand the specific contents of a data set.


NEW QUESTION # 123
A project manager requests an unscheduled report that provides a list of clients. Which of the following frequencies is best for this report?

Answer: B

Explanation:
An ad hoc report is created on demand to satisfy a specific, unscheduled request. Since the project manager requested a report outside the regular reporting schedule, an ad hoc report is the most appropriate choice.


NEW QUESTION # 124
A data analyst deployed a report for public access. A user states that the report is not showing the latest information, even though the user updated the source an hour ago. Which of the following should the data analyst check first?

Answer: C

Explanation:
This question pertains to theData Governancedomain, focusing on troubleshooting data freshness issues in reports. The report isn't showing the latest data despite a recent source update, indicating a potential refresh or connectivity issue.
* Event log (Option A): Event logs might provide insight into errors, but they're not the first step for checking data freshness.
* User privileges (Option B): Privileges might affect access, but the user can see the report, so this isn't the issue.
* Database connection (Option C): If the database connection failed or isn't refreshing properly, the report won't reflect the latest data, making this the first thing to check.
* Report corruption (Option D): Corruption might cause errors, but it's less likely than a connectivity issue for this scenario.
The DA0-002 Data Governance domain includes "data quality control concepts," such as ensuring data freshness by verifying database connections.
Reference: CompTIA Data+ DA0-002 Draft Exam Objectives, Domain 5.0 Data Governance.


NEW QUESTION # 125
A manager requests a report that returns results based on a user's profile. Which of the following best describes this type of report?

Answer: A

Explanation:
A dynamic report adjusts its output based on user-specific attributes or profiles, allowing different users to see customized results.


NEW QUESTION # 126
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